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Information Propagation in Online Social Networks Based on User Behavior

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 7473)

Abstract

Along with the development of Internet and Web2.0, online social networks (OSNs) are becoming an important information propagation platform. Therefore, it is of great significance to study the information propagation rules in OSNs. An information propagation model named IP-OSN is proposed in this paper, and some simulation experiments are carried out to investigate the mechanism of information propagation. From the experimental results, we can see that along with the information propagation, the number of known nodes increases and reaches its maximum, then keep an unchanging status. Moreover, from the user behavior aspect, we find that different user behavior in OSNs causes different information propagation results, the more users who are willing to diffuse information, the more scope the information can propagate and the faster the information diffuses. Findings in this paper are meaningful for theory of information propagation and complex networks.

Keywords

Information Propagation/Diffusion Online Social Networks User Behavior 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Key Laboratory of Ministry of Education for Data Engineering and Knowledge EngineeringRenmin University of ChinaBeijingChina
  2. 2.School of Information Resource ManagementRenmin University of ChinaBeijingChina
  3. 3.School of Economics and ManagementBeihang UniversityBeijingChina

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